{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-02-16T06:13:40.808438Z",
     "start_time": "2025-02-16T06:13:40.759162Z"
    }
   },
   "source": [
    "import matplotlib.pyplot as plt\n",
    "x = range(1, 8)\n",
    "y = [17, 17, 18,15,11, 11, 13]\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-02-16T06:23:38.764347Z",
     "start_time": "2025-02-16T06:23:38.716340Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import matplotlib.pyplot as plt\n",
    "x = range(1, 8)\n",
    "y = [17, 17, 18,15,11, 11, 13]\n",
    "plt.plot(x, y, color = 'red', alpha = 0.6, linestyle = '--', linewidth = 3, marker = 'o', markersize = 10)# alpha表示透明度，linestyle表示线型，linewidth表示线宽，marker表示标记，markersize表示标记大小\n",
    "plt.show()"
   ],
   "id": "970e8a353c19932b",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 12
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
